{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f2e8e37a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mikeio import Dfsu,Dfs0,Mesh\n",
    "import pandas as pd\n",
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca9bad3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置参数\n",
    "filename = r\"2%-be.dfsu\"\n",
    "item = 'Current speed'\n",
    "setp = -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "6848a23a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 实例化dfsu文件\n",
    "df = Dfsu(filename)\n",
    "mesh = Mesh(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1a809c1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mesh.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "1b8f1011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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44cyfP5/jjz+eWbNmceGFFzJ9+vSEc918881s3LiRCRMm8PWvf50f/OAHnb5OpfM4MXUDHNW7lDnLt8T3pZoBJFst6yXVavXPjx1sxfZTJJlLS4QrqodldVTdoeOXwFfHD+G5N3fGnZIBDrbFktb7O07AvSLZed0dz27gtq+MVSeQY3qeA9i+Cv70VWhvhZJe8PVnsuIEHF5//XU2bNjAkCFDOPPMM/nf//1fpk6dCkDfvn1Zt24djz32GLNnz+a5554LPM/dd9/Nr3/966THKF1HPJnqMbhuSkK0Pkxm9NPBcRDeJHOYxWRO4jZdvSLnHryzqyXBydxw1ihuvuAkrjljRMI9MqSWgL5qciVjBpd3eN0bjfuYMee1rDsvJZGe5wC2LbeMv2m3/t+2PKsOYNKkSXFdoAkTJrBt27a4A7jyyivj/+uIvnhIJZUMqRukQGLFjDesk6l4XLq6Vu7EbVlphOlVQ1Ma2GTOLyKW1o/7WgwkSECnSvC6XzffJavhlIpqSCh3pHQAIjIMeAwYhDVDm2OMuc9zzDTgacBRPFtsjLnD3nc0MBcYZ7/+WmPMayLy/4CvAK3Ae8A3jDEfdvoTpWLEWdbI35kBjDgrq6dPJvUsIh0el5aWEotZ9XmxWIzW1uAQgtL1OPHuIOMfthwzWWtFJ0bvSEbkYsTrGHF39U1rNJayFj+Z8xOshLJ31nPZxKE8sXp7/DWxkH0ALps4lKfqGuOaQWAZjNYc9u3o6YSZAUSBHxpj1ohIOVAnIi8YY97yHLfcGHOhz+vvA/5mjJkuIr2APvb2F4CfGmOiIvJL4KfATzL8HOEZNskK+2QxBxCWhQsXcvPNN7Nw4ULOOOMMAEaMGEFdXR1XXHEFzzzzDG1tlpRAeXk5LS0tXXZtij/eeHdJRDjvxIEJZZepRu+pnIhj5Jxqnidqt2c19JHMiLtr8RuaPqH88LKEMtKXNu7CL+KVLLdQNbyCOy4a1yHBm8qIVw2v4PHrp8TDTM5aiJixku1K9knpAIwxO4Gd9uMWEdkIHAt4HUAHRKQv8Dlglv36VqwRP8aY512HrgSmp3ntmTNsUpcafofm5mZOPfVUevfuzeOPPw7A9ddfz0UXXcT48eP54he/yBFHHAHAqaeeSklJCePHj2fWrFkaMsoTFX16JYzYr586kpsvCK+0WlffzL0vbk5wIqlwr5JN1oUrDH7lmgJEIoKJGZyxdszAg69uSVpG6nZ+qZzTVZMraWj6JKEPQBgj7oSDHnj53YS1EHNXbOXzYwfrLCDLpJUDEJERwGlAjc/uM0TkDWAH8CNjzAZgJLAHeERExgN1wPeNMZ94XnstsDDgPW8AbgCorCzMRSIff/wxANOmTWPatGnx7ffff3/CcT/+8Y/55S9/mbBt0KBBrFy5Mv7c2V9WVsY//vGPHF2xEhZvnb8T7w5D0EKp66aOpOVgNJ4D8JOMcEbmjlF2h4ga/7WfN9/fl7KSqK6+mVs9xr8kIsw43Rq5b/qgxbeW30u6zWEcvH0AHl6xlY8ORkPNbKaM6kdJROKzFqepvDqA7BLaAYjIkcAiYLYx5iPP7jXAcGPMxyJyAbAUOME+/0Tge8aYGhG5D7gZuNV13p9hhZnm+b2vMWYOMAesfgBhr1dRskE6df5uvCPvVP0BnGoev7CLN0Tk4O6968eDr7yXcB4B7nQZcec6vE4qW2WkXiOeTp2/E0bSpvK5JZQDEJEyLOM/zxiz2Lvf7RCMMX8Rkd+LSH+gEWg0xjgzhqewHIBz3lnAhcB5ppg602TAtm3b8n0JSprU1Tczd8WhTm6p6vzdr/MulCqJSNLmMO5qnmQJYy8vbtzlu72uvpl/vL07YdvnTx7UwXg6ZZhuPZ9s9SRwjLhfnX+Y0fxVkys7NJVXyYjsEqYKSIA/ABuNMfcEHDMY2GWMMSIyCUtmusl+vl1ExhhjNgHnYecOROSLwP8BzjbG7M/S51GUrOHV+09V5z97wess27yHvoeVdVgolY7wmtco+4WIHPod0dvnDFbTl5jn2r919nG+x2a7RaqboDr/BasaKO9dmjK/4VdRpJIR2SPMDOBM4BpgnYistbfdAlQCGGMexErg3iQiUeAAMNM1ov8eMM+uANoCfMPefj/QG3jBLolcaYy5sdOfSFEyxKts+c6uxCqs66aODDQ4sxe8Hg/JfOhqCpNpwxWvUXZCRMs27+H95gPx7Wee0D/h+uNhpLd3JTZ9yYLyZ6YErQ9w8hvJ+icHVRSplHR2CFMFtAJr9pvsmPuxDLrfvrVAh16UxpjjOx6tKPnBL2HrHm+nSgAHCbtVDa/IioFyjKO7BWVpiXCZLerm7bvr5ryTOoZ+8oF3NA+dk4zwk5LOdJVzT6XnrQRWFBd+C6SgYzVMqvCPV+jNYXV9M/NrGrJigN0hKQGuqB4WN3KL1jT6Gn+AAeX+YaKuxp0TcOc30pWM8EpJO4vMAK58eCVt0RilJcLlKiOREnUAXcyjjz7KF77wBYYMGZLR61UmuvM4o8Rkqpp+jVeSGRKnEufFjbv4+GB7fLsxcOvSdWzYsa/TKpwVfXrFwyBOCanzeZ4IaE6fDennbOLOb6zd/iEvvrUrbckIr5S0UyIKxJ1gW7thfk0DT9Vu5/EbzlAnEIA6gC7m0UcfZdy4cZ1yACoTnTmpJBmcOn1nRWw6Oj2OE/CWgLYbmGc3Y+9MzHr9jn2+zxetaUxIEB8/4AiunTqqUxpDucQx5HX1zbz89u6EBG+YKh9nn7dEdPSg8g7HtrYbFun6gUB6pANYu3sttbtqqR5UzYSBEzp9vnvuuYc//vGPAFx33XVcfPHFXHjhhaxfvx6AX//613z88ceMGzeO2tparr76ag4//HBee+01TjrpJJWJ7iKSSTK4F0h11li4Y9ZuR5OqWUoqvIk45/neloMJ2yeP6lcQMf9U+CV4w+oG+ZWIOt3WvCRNYPZwIvm+gK5m7e61XP/89fxuze+4/vnrWbt7bafOV1dXxyOPPEJNTQ0rV67k4Ycfprm52ffY6dOnU11dzbx581i7di2HH344cEgm+rvf/S6zZ89O+n533303Z511FmvXrlXjnyaL1jR2kGQQrObod140jl9cckrWRopXTa5k4bfO4MrJlZREDpkgp4JlxkOvJShfhmGsp93k2CF9qatvTkhAl5Z0XaP3bHDV5Er+8+JTcN2ihJBOMi6bODTh3vpR0oWN74uRHjcDqN1VS2t7KzFitMXaqN1V26lZwIoVK7jkkkviGj6XXnopy5cvT+scPVUm2k8eOdnIuLM69k/Ubk8ojbz+rFGd0tlJhRPqGDekb6gKllT4tZ9cuaWJNlfyd4YrMVws+IV0nqzdnjJnEpRUdojkufy1GOhxDqB6UDW9SnrRFmujLFJG9aAOFaqd5sMPP4xLPAN8+umnSY/vSTLR3gSs94frKGG6lTbBGr0/VddItD1GRMLr0vgpYQpWU/R0RN3CfC5vYxbHsSSrYEknJBQkS+G+f95ZQrHgDem0tYfT/nEnld/Z1ZJQifXV8UOKIhSWT3qcA5gwcAIPf+HhrOUAzjrrLGbNmsXNN9+MMYYlS5bwyCOP8Nvf/pampiaOPPJInnvuOb74xS8C/jLPPUEm2jGQT9ZadeBB4piOEqYzyo1ErDFvu6vCMWZMqDhxkBJm77LsVcYENUvxCqgFVbCEXdSUTJbCOysoVtz9AAywMMQsABIVRN3rN555YweTRhZHPiRf9DgHAJYTyEbyF2DixInMmjWLSZMseenrrruO008/ndtuu41JkyZx7LHHcuKJJ8aPnzVrFjfeeGM8CQzdXyY6TEctN+5RbpCMcip9+SA9nmwlep33uHLOa7T6SDQEhXnSWdTkxq8vwZRR/XhhwwcZidUVIlXDK5g2ekBc9C4achbg4BWfC5tQ7slIMWmwVVdXm9ra2oRtGzdu5KSTsjeV72pGjBhBbW0t/fv3T31wSArpngSNwv3kkfe0HGTZpt1JZwhufnFJsMTCLUvWxWcSYMWD/zMDSYZk3LJkXahErp/jCVqAVhoRFn6rY9363X/ZGNfWB7jxc6P4/NjBzHjotYTFYT/6tzF855ziXWTvvaeTRlRw9piBofM0ft+3qydXctclp+TicosGEakzxnSId/fIGYDSNSQbhQd100qWI4gICefa4KmLd5hv19wnaOFk2fhDx/LL4wceyaSRn+Go3qXMWb7FN8zjbvBy1yWn+IaE7n1xc4JyqF/4p/zwssBZQTFz2cShPOEKp63a1szqbc2h+xH4JZTDhpJ6IuoA8kx3lolevKYxIezjVGUk+xG7RdA+P3Zwgjjb2u0f8oJLE99vkuA3Apw5qTLrxt9bflkSgV9edmr82iv7HeEb5nEE0LwGzV3JsvydvdRs/RePX28JpHnLV/3CP5BcrK5YqBpewRXVwxJmb869C5swv2pyJcs27U4IJT30ynvM+Vr2Cz6KnW7hAIwxCZU0PZlCCenNr2lgwapDU/kSu9Y+HUPsVcScX9OQ4AD2H4zywMvvxh1Ey4G2hJE3WCGVXNSBe8svvcuNgip/wD/mP2ZwOXc8u4E3Gq1ZTWs0xh3PbuCMUf06zGbuuGgcgO+soDtwma182hqNJfwt01EB7e/RP3pp4y7q6puL3kFmm6J3AIcddhhNTU3069evxzsBYwxNTU0cdthheb0OJ/TjNnozTh/W6VG4uw4erI5Y7nyCn+sbN+SonPzoOyQcfZLS7sofv1p1b5Jy7LF94w4A4I3GfQnP4dBs5pYl67pd+MehangF866b4qvXFHY2cNnEoSz0lNx6Q2tKN3AAQ4cOpbGxkT17/OV4exqHHXYYQ4fmd+WjNzZdGjkkW9wZvEYXEiuG/FjbuI/ZC15P2js3E6qGV3DhqcfE686TVeC4a9W9sxR3NdNlE4fyVO1236oiODSb8ctxpNNwphjwhgK9M6lUs4Gq4RXcefEpCY53xTt7ee29Ju0h4KLoHUBZWRkjR47M92UoLtwLliB7sWm/lZ/eGYDfTCBIq78zzK9p4Jk3Di06SlWD7zZoH3z0qa/jqBpeweM3nNFhvYQ7ZwCH8gUOuchxFBLemVTY2YDjeO99cTMr3tmb8Qrs7kzROwClsAiqWAn7Wrc0xJ6Wg/Qv753www7qYev+v2ZLE6++szd+3mmjB2T9M/pVN4UJwdTVN/Pcmzvjz72OwzF2l04cmvAZnWopb+gnVzmOQiQor5JsNlA1vILZ54/mtfeadH2AD+oAlKxRV9/MHc9uSKuPrvO6ZKuEvZruqXrYfuec4+P9eaeNHpD18I83xJVOz19vZZT7/njlJIAEI+Xo/nfn0E8qUs0G/Eb3fqqjjuBcT7p3fqgDUDpNkBxCGANVV9/M1XNXcrAtFhjHb01zRSiQdaPvpqJPr4RrveGsUaHCCXX1zQktHd2NZubXNCTUroM1OygrjTBt9AD6l/fmnV0tCfe3UFo95oNk+kp+TiCoh0CyLmQ9AXUASqdIJvMQJja9cktTXPslGen8WHPdF9aryhk2xOVu6Qhw3okDuWpy5aGqKc89NFjloM+7Sl/dFEqrx3wRpK8UFOLx6yHQ0/MB6gCUjAiSMnDoFVKXfsqofpRGJF75EhFrRN1yMErNlibe3fMJYP1Yb316Pcs27aZ/ee/4SmK3lPS4IX3ZsGNfPJTUqzTCvOumZN0JuGcABivpHYYpo/pRWhKJty38x6bd1NU3+/YpSIXq3B/CMd5hQjzexvQxY8lPPLG6gaXfndql110IqANQQpOql25JRDjvxIHx54vsph6pNN2njRkYH+XGDHx0MMovLjmFuvrmBK2b9phJGA0H1f47tEZjSQXjMsW7HmHO8i1U9jsi5SjST+zs+4+vYce+TxPkLs47aRDnjBnIhh37kqqM9vT4tZsgCQhDYo8Jv3wAWOXCZ//qZe6ZMaFH3Vd1AEoowvbSbTkYTTBafvr+qX5gznI+d9mnX4gp1Zg5ZnKjjumnOhk2lOBdodr4YWKviCsnJQqXXWqvinVmOIXa57cQ8IZ4ok5j+LrGuKyGcxxYI3839f/az4yHXutR6wTUAShJSRXqccTdjupd6jsr8NP3P/fEgZwzZmBcvuGlt3fHj/e2NHQn+/xGw8mcQK708TvTyzbZYi+/ks5UFU9KIo6MhLuooDUa6xAOumpyJU+sbmCtZ6V1T1snoA5ACSRZhY53cZJ3Su3GHS9vjxleeGsXL7y1y9eA+7U0dNfGe0fD3hyAWwQs2erczuIYh58tWRf/DDGTvEeB81mcxV5uh9YTSzpzgSMj4dZVAv+BwtLvTuVrf6ixChFcDrknrRNI6QBEZBjwGDAI6z7OMcbc5zlmGvA04KwAWmyMucPedzQwFxhnv/5aY8xrInI5cDtwEjDJGJMo9K/kHW+FjjvU40gaA8x46LUOi6KcXEAyfX/vplSLmsKMhr0S0UGS0dlgzOBySkuENtt4lIZcDObn0LLVpEax7u+M0yt5o/FQiGdcQKvMx745GeioIusny90dCTMDiAI/NMasEZFyoE5EXjDGvOU5brkx5kKf198H/M0YM11EegF97O3rgUuBhzK9eCW3tBxoSzDc5588iBvPPi7hB+FdmeqVfHYnjh+29f0dvI1hsjEC9jqVPR7N/myycktTQkjq8jQbsmt4J3e4HX+E1KFAP1nunqAdlNIBGGN2Ajvtxy0ishE4FvA6gA6ISF/gc8As+/WtQKv9eKN9TIaXruQSP0mHCcOO7iDPnKrxip+olzeEk83EprehyDK71DIXhta7IKxYG7J3NzosuCsJNzPridpBaeUARGQEcBpQ47P7DBF5A9gB/MgYswEYCewBHhGR8UAd8H1jzCdpvOcNwA0AlZXd7w9QqAQ1IYHgxHCqhV9dMeL1NhSJpugd3BnWe8JL3udKfvAuuIulscYiSDvIbw1Kd6jGCu0ARORIYBEw2xjzkWf3GmC4MeZjEbkAWAqcYJ9/IvA9Y0yNiNwH3AzcGvZ9jTFzgDlg9QQO+zolc+rqm3mqrtFXcyZo5W8hiZKNG9LXlZgNv1ArXbwtIXUuWxhMGWX3BrGbIxlDWoMAvyovvzUoZaURplcNLer8TSgHICJlWMZ/njFmsXe/2yEYY/4iIr8Xkf5AI9BojHFmDE9hOQClgPF2u3JG9o5kQdQTxy+0hUneeO/DK7by0cFoVn+o3paQ3vJVJb+IKzgnEUm7GsydEwhag9Iajfn2ei6U30EYwlQBCfAHYKMx5p6AYwYDu4wxRkQmYeVdmuzn20VkjDFmE3AeIXIHSn4Jim37hYVmnD6s4EZAjryEewXx4zUNLF7TmDVpCK+T9CtfVfLDyi1NHVpJ3vb0eiC9OH6yNSgOTpgxqNdzoRNmBnAmcA2wTkTW2ttuASoBjDEPAtOBm0QkChwAZppDzWm/B8yzK4C2AN8AEJFLgN8BA4D/EZG1xph/y8qnUjqFX2zbLyyUbo/frsKvcYwBDrbFWJQlCWBNABcuU0b1o1dpJGH9SqbJ3KA1KBt27Avs9Ry2eX0hEKYKaAUpwpvGmPuB+wP2rQWqfbYvAZaEukqlS/H+sYXgsFChkjB6W91ANGb9QBeu3s64LEgAexVBc7HiWMkMZzGYn1R0pgu8/AoYgno9p9O8Pt/oSmClA97RrPO82Ea87h/tvJoGwPpxZqOsz6sImqsVx0pmBElFZ7MRjLfXcybN6/ONOgClA+7RrDO6ff/DAwnHFFPJ46UTh7LQIwHc2aX+WgIajLezmZ9kRy7WgPjhpxL6ZO12Ls2SQe5s8/p8ow5A6YB7NOuMbnd4HEAxlTzmoiWgX5isp+Lt5RxGtM+7CtyposmFU+igEpqjtSGZtKvMN+oAlA40728lItZIWbBGt14tlfLexfXVCWoJWN67NKPyvaAwWU8jTEtPv+3u8Jm7iibIKfjNHrzbkv0NvWtDchmyS9austBCQsX1K1a6BHeXLoOl6U914khu7oqtfH7s4IL4EofFryVgpuV7mgS2WOSRXvYj2QzATTKnEOZ87v7Jbkexfsc+Vm39V8LxuRQJhOAcRKGFhNQBKB3wdumKthv2thxMaILSHjNZK6nsSrwtASGzhF3LgbYenwT2akGBJQZYWuJviL0jdidx6lTRJHMKYbZ5+ycn6xfRVZICfgvKCikkpA5A8cWv4fgdF43j1qXraDfWl/ipusaCmcqGxW+NgEPYBWN+Qnk9bQbglU8G+MLJgxg/7Oi4ZtTKLU0A7PjwAO9/eCBu+J1tBus75U4Ih3EKqRoBOQQd06tEuKwLV20nCwnlu++AOgDFl0ttVc02l6rmt84+jpmTKplvh1DaotlbWNWVpCrfS9VLeOWWpkChvO6OWwjQbfxLI8I0u8vbCxs+SDDibrzGu7REuKJ6WLzQwADXTR3Jhp0f0e+IXjR90srYY46i5WA0aQ4gTPK5tESYUT0saxVA6ZAsJJTPvgPqABRfqoZXcHn1MObb9fPRdqty4tKJQ3nSbmno5AeKbRYAHcv3HnrlvYTG9MkE5LyrgK+bOrLoPn8mBAkBisDEyqO5/Zn1gc1/HLy73C1DE87JofzKa+81xRPC4D+jGHL04dzx1XG+yeL1O/YhkBfD76XQ+g6oA1ACcVf+xLAMn19+oBhnAW6qhlcwftjRvPDWrlBJbm8C2DFM3Rm/kI9gGX8MrNrWHOo86cb5wyaEi0mHp5D6DqgDUAIJWuzkzQ94ZZGLkSmj+oVOcntXAedKbrpQcFRgvW0/qyqPZvW25gSj7FfKGRS+2dNyMLBlaKaOIt8x9bAE9R3oaiegDkAJJGix06UThybEW196ezfzaxoKfuSVDCc57E5yB4W33DMAKM6S2HRYvKYxIewTEbh+6kjmrtiaYJQdddh0GqZ4F5GlWyXk3RbLYQOgbOO3QLGr1wqoA1ACCVrsVDW8ghnVwxL0dYpl5JWMqyZXsmzT7pThLb/ZQrEYnXSZX9PAglUN8eclEeHOi6xYu9cpZKIOm6pL3OfHDo47CO/swQD79rcmzEJKSyNFlZB37le+1gqoA1ACSbbYyauv012MoDe85SfxUDW8guumjuTBV7cA3XMdQFDbzxmnD2PM4HJuf2Z9fJsAXx0/hOb9rcyvaciqlIOfg3CS0X5VRtOr8p/oTZd8rhVQB6AEkkzxsrsaQe+sZ8P7+5hwx/NMGz2Ae2eeFt/+0cFo3DlGpHutAwiSdyiNWPXz3p67Bli6dkenpRzCbPPT4fdeXzGSr7UC6gCUQFIpXpYfXtZBM6jY8cb31zZan2np2h0A3DvztA4rYEu72TqAxR55B3eFjWOEIiLETKIVTrdyJ5NtfvhdXzHSFRLWXtQBKIGkUrz00wzqTOIqrIxwLuWDvTX+bpZt3hOviHEvBLu8G7WDdGL+zqcrKxEur05s+xlPmHvuQ2elHMJsc7+Xe5ZRbL14k+EnXLiw1hpwZDsxrA5ACSSV4mU21gQ4Rn9Py0H+sWm3b99VN47o1/SqoTmpkkg2i5k2ekCHVcClke7TDN5b6y9Yzu0Xl5zS4Vh3yKKzlTvpbItgJXpz9fcvFDpIWLfnJjGsDkAJJIziZZikqZtU2vGpMFhSDdlu8u7gXdMw/DN92PdpWzwHMN+zavXCU48peiMUJO9QkiKmHlTBE1S5k40cQK5ngJD4Hc1nM5vL7D7ETjguF4lhdQBKIGHaHqaaJbjDOkf1Lg3UiPEjlZrjwbYY9764mS+NOyYrP8a6+maWbd4Tf15aItwzY0LCOb1O8Lk3d3LNGSOKzgk4Rs6rheQQETKOqacq7SwkvMY+nRlMrsNQueht7EUdgBKIX2OYVMe8vGl3wqgpnRF+aYlw7piBSWWE3XX6Blj+zl6Wv7M3K52lvI3vZ/jE9r2rfoux/DVZGWUxSSqkSybGPszq40x7SoQh14lhdQBKIN4k78LV2xk3pG/CF9x7zAtv7eJFl6ZOMpx4rqMdHyam27y/NUGzx8Gv8iTdH6Vb4x86zmbm1zQwZ/mWhG3FpgTqp+nj4Kzk7Q6x9WwZ+7C5Cef756zizXa4Kqij3VjP7zFd1AEogTiKoMlW/HqPgdxWb0wZ1Y/eZRFao7H4rCPoh+z+UaaaLqfS+PfTw+lMmKSrCYrzQ25G/V4D3BVVOt6wVqbGPsw6Bu97ODireDMZgKTCr6NdZ0NB6gCUpIRZ8es9xsE7ws/GqMiJi6YzumuPGR565T3mfK068LyL1jQm1fj37o8I/OfFpxRFmCRIxjkicMNZo0I54rCJUT+Rt2QGNdPZhreYIJmwXLrGPux31El2+/WUcP53BiDLNu0OPctNhrejXWdDQWKM3+0pTKqrq01tbW2+L6PHcfdfNsZX/ALc+LlR3HzBSQnHXHz/iviiqdI81Gd7DdSyTbtZ7ZIoFuCuS/wN9vyahoSpdYnAnS7jXlffzJUPr6TVzg949xcqQXIOYUem6Yyo01m05T7OaQiTzuAgWQ4j2XtmI08UhHOvn6zdnrQngvN5O+MIUn1f/RCROmNMhxGQzgCUlJQfXpZU/XL2gtfjxh/gs8f16+Agco238mTKqH5c8eA/44bPQMJIzD2Vn7N8S8IPduakyoQfkzc57N1fiASN+sPG+ZMZ2bCLtsKEXtwNYYIck3e0HyQF4X7PXBp7P5zv36W2VEZQdVU26vn9QkGZloamdAAiMgx4DBiEdW/nGGPu8xwzDXgacIKoi40xd9j7jgbmAuPs119rjHlNRD4DLARGANuAK4wxzSgFRyr1S3fpJMCb7wcvpuoqqoZXcOfFp3RQWUzVNNxvYVeq5HChEdS8Jeyo32/W4CbMDMAZ6XpLf8PmbBxHnU7pcCaziWzj7TS3eE1jh0o4b8I4k9mANxSUaS+BMDOAKPBDY8waESkH6kTkBWPMW57jlhtjLvR5/X3A34wx00WkF9DH3n4z8JIx5m4Rudl+/pPQV650GamE36aNHhDXynGed5ZkOvFhf9h+KotuvFv8krp19c087Kr8CVoQVwgkW9CVzqjf716FSYwGxfaTSTr7xe29jtoP9/U4DWcKrXrJPStwVru/tHFX3LF2RvY5qJdAuknhlA7AGLMT2Gk/bhGRjcCxgNcBdEBE+gKfA2bZr28FnF/PRcA0+/GfgGWoAyhYvGGgDa41AY5K5rLNezqoZoYhnYReulN7t2RBUNNwv9Hx7AWvs2zzHvoeVpYwEo4IBVn2mSzRm0qnP1WuoLP5nGQLw1ItSPNSjFIQ7s/v/Ts5s4FMRu9BvQTSaTKfVhJYREYArwLjjDEfubZPAxYBjcAO4EfGmA0iMgGYg+UsxgN1wPeNMZ+IyIfGmKPt1wvQ7Dz3vOcNwA0AlZWVVfX19aGvV8ke3kRoaYmw8IYz0v4BpmPsU5FuvNdS8Wxg4FGHcc6YgYFL+mcveD1hRuPmCycPSlpN1NV0NtHb2VxBNnE+i5+j7k7Cb0F/s0zvuTdf4/e3D0oCh3YAInIk8ApwlzFmsWffUUDMGPOxiFwA3GeMOUFEqoGVwJnGmBoRuQ/4yBhzq9sB2OdoNsYk/dRaBZRfbnisNmFqfvXkSu7yEQpz6KyxD1tZ4vcar9FwV7KUBSw+c673/n+8y4G29g7nztTp5YpsJHozzRXkEj9V2GI3+n5k8/7X1TcnNJmHxFLlTlUBiUgZ1gh/ntf4A7hnA8aYv4jI70WkP9aMoNEYU2Pvfgor1g+wS0SOMcbsFJFjgN2hP62SF/p7hN+CjHNdfTOL1jTyVF0j0fZYRsbendBz4sqZJBT9NOlbo7G4I3tidQMzTq+kPESy0U8aIl9kK9GbSa4g1xSTllBnyGYnsFRN5oMIUwUkwB+AjcaYewKOGQzsMsYYEZmEFaprsp9vF5ExxphNwHkcyh08A3wduNv+/+kwH1TJH+M81S/e5xCuRjuMsQ8yQt6EYqarPh2iMRJWMQfRq6QwZJ9zlejNtKev0jmSdQJLt0ooKDG85JnFHHt0L98/bJgZwJnANcA6EVlrb7sFqAQwxjwITAduEpEocACYaQ7Flr4HzLMrgLYA37C33w08ISLfBOqBK0Jci5JHUslDB41KMzX2fviNDsM6BQEiEetZe6zjud1kolOUa3KZ6O2O4m/FQpDgWyZVQt7E8MzIS9xZ+ihnHB71Lc0LUwW0ghQy78aY+4H7A/atBTrEnowxTVgzAqVISCYP7aeVUyLWoqmxGRr7sIRxCu5kL1htD3e3HOSVzXviYapCTTZ2p0SvEky2QkLOMUueWcydpY9SSsd8loOuBFZC4y79jJA4A1i8pjHBwETyLJeQKo7sTfx2pWhZOnTXRK/iT7ZCQldNruT8LZsp3dSedPSuDkAJRV19Mwtrt8efl5ZG4qPpuvpmnnTtK4lI0cSTCznh2Fnj7fd6HfUXPlkJCdU+ysDNC+JPTUAqTB2AEorFaxoTarOnjR4QNyArtzQljFDPO3FgURj/QiUbVTpB8tXF4piVToSEah+F//kBGCfRJTQfMHv93kMdgBIK7/DBXRI6ZVQ/Sksi8UViyzbtpq6+WUeYGZCtKp1ilq9WDpFWSGj7KnhjPtQ95jL+QKSEvftNk9/5I13xIZTiJ1kJaNXwCqZXDY3HGqO2WJwSnrr6Zn62ZB23Ll2XYPwFS6AuHeNtrXjeHnfaJWr8i5qq4RXcdckp3HnxKURcAX0nJHT13JVse/4BeORL1ujfuJK+EoELfkNLK5/4nVtnAEooUpWAjhvSN25wYsa/gbziTzardPzi/sUgX62kJigkdHL0bYb+807wVvtESuGC30D1LA5V3yeiDkAJRbISUEisEPJ7rvhLHPj1I+iMHIA37u8nb60UL37ihpeWLCdi2g8V60sJVH0dxl8JwyYlPZ86ACUUqQx8OqtvewpeLaQgNVI3nanS8Yv7F0vPYiU8TpWQAd5e9SKXl7xyaHYuJfDle+xRf2rUASihSGXgw8hE9CTCSGJ4t2dapePMLJ6oTYz7F0PbSiVzLps4lFdef5sSYoiAQaDqa6GNP6gDUEKSysC7cwTQc0NAYTpqOSTrRxAWv/yBoHH/nkDV8AqO+MrlmL8uwZgoUtILxl+V1jnUASihSJUEnjKqH2Wlh0pBF9Zu59IettgoWUctr7aQu4tWpiuQnZi/1/j3Loto3L+HcOLp58Pg52DbchhxVsqYvxd1AEooUiWBq4ZXMG30gLjMcrTdsHhNY49xAMlW7eZKW8gb89dVvj2UYZPSNvwO6gCUUKSaAUD4fgHdiXxp6/vV+usqXyVd1AEooWg50JZ0BgA9LxGcL219J/TjHv1rzF/JBHUASkrq6puZu2Jr/HnQDCDMLKG7kE+VTW/oR2v9lUxRB6CkZOWWpg6xZkcJ1E2qPEF3IZ8qm36hH631VzJFHYCSErdhB7hu6khfg9PdZwBB8f6uUtlUmQcl26gDUFLiNezlh5f5HtedZwDJ4v1dIbSmMg9KLlAHoKQkrGHvjnpAhdJLV2UelFygDkBJSdjQTnfTAyqUXrp19c0q86DkBHUASiB19c0sWtPIu7taQs0AulMZaCH10l3k6cZ23kmD1PgrWUEdgNIBx/A/4VGvhI7N4N10hyRwvhZ2JWNvy8GE5wM8C+4UJVPUASjAIenilgNtzF2x1VfFUoBeZRHfElAo/iRwvhZ2pbqml97eHX9eWqKJXyV7qANQQkkXl5YIM6qHJRV4K+YZQCGFfBz8VvzOqB6miV8la6gD6OH4KUo6lIgVbx5Q3juUsmcxzgAKMeTjoCt+lVyjDqCHs3hNYwfjn+nIt9jKQOvqm7l67koOtsUSZj75DPk46IpfpStI6QBEZBjwGDAIa2A3xxhzn+eYacDTgCMYs9gYc4e9bxvQgtWxOGqMqba3jwceBI4EtgFXG2M+6uwHUlLjjvcvWNUQ314SEa5PU7p49oLXWbZ5D9NGD6BP78SvU6GXgS5a05hg/PMd8nFQsTelqwgzA4gCPzTGrBGRcqBORF4wxrzlOW65MebCgHOcY4zZ69k2F/iRMeYVEbkW+DFwa1pXr6RN0KhXgBmnD+PmC04Kfa7ZC15n6dodACxdu4MJQwu/DNQJ+expOcg/Nu2O34PSEuGK6sLQ0tfQj9JVpHQAxpidwE77cYuIbASOBbwOIF1GA6/aj18A/o46gJyzcksTrdFYh9F5SUS4LE0js2zznoTnb+9qKegk8PyaBm71jKzBdn7Vw7jrklPyc2EuNPSjdCWRdA4WkRHAaUCNz+4zROQNEfmriIx1bTfA8yJSJyI3uLZvAC6yH18ODAt4zxtEpFZEavfs2eN3iJIGFX164c33ltphj3SNzLTRAxKenziovCCTwHX1zfxsyTpuXbrO1/gXSgtFpxJJQz9KVxE6CSwiRwKLgNk+sfo1wHBjzMcicgGwFDjB3jfVGPO+iAwEXhCRt40xrwLXAr8VkVuBZwDf4aIxZg4wB6C6urrQw8oFj7d5+1kn9Gf2+aMzGmHeO/M0gHgOYH9rO3Ao8VsISeBkfXoLKezjV4aqoR8l14RyACJShmX85xljFnv3ux2CMeYvIvJ7EelvjNlrjHnf3r5bRJYAk4BXjTFvA1+wzz8a+HLnP46SCq+085fGHdMp43fvzNPiK4efeWNHwr58e+ugpumRiHDuiQO58ezj8m74wV/pU8XelK4gTBWQAH8ANhpj7gk4ZjCwyxhjRGQSVmipSUSOACJ27uAILIPvVAcNtJ1CBPg5VkWQkmPco/Jksg5hCUoqlwhp5xSyTTE0Ta+rb+beFzd3UPrsColpRQkzAzgTuAZYJyJr7W23AJUAxpgHgenATSISBQ4AM21nMAhYYvkQSoH5xpi/2ee4UkS+Yz9eDDyShc+jJGF+TUNC2WdpabCsQ1gWe0opIfOcQjYp9KbpdfXNPPTKe7y0cRcxcyhxXghlqErPIUwV0Aqs72ayY+4H7vfZvgUYH/Ca+4D7/PYp2ccbYxZgelXnRsKOQ3GXUqaSi+gKCrmO3ilDXegR2hNgaifyMYqSCboSuAcQ1MO2MyGauJF1OZQrCqSUstDq6L1Ce76yGxFR4690OeoAujl+xj8bCUa/RvH5jvlD/uroHSNf0acXzftbqejTiw079rGn5SDLNu0mGjMdym8dtNZfyRfqALohTlXO3paDvPT27g7GPxsJxpYDbaEaxXclXR36CZLQdpfZBlESEc47cSD9y3sXVFJa6VmoA+hm1NU3c+Wc12ht72iCOmv8Hd2fU4/tyz/fa4pvT9YovivpytBPMgltP+PvXiGtiV6lUFAH0M1YvKbR1/iXdtLouHV/Xn0nUdapJCKdribqLF0V+glqEu/GOwNwFpyNG9KX5v2toYX2FCXXqAPoRnjLPCF7lTle3R+HkgIp+fTmOXIR+km2qtgZ2V9nq6k6OQADGuJRChZ1AN0AJ+a/cPX2hFHp+KF9ue0rY7NifKaNHhCfATg4CqL51s3PtYRC0Kjfa/R1ZK8UG+oAipygUWlpRLJm/OGQ7s9f13/AwWgMsMIc+ZJ8DurklW0JhaD7W4irihUlXdQBFDGp+thm2zBdc8YInntzZ8J75UPyOVnz9mxUOLmre+Ys31JQfYIVJZuoAyhCAvvYihX7ztVKXG/7yK5O/qYKxXTWKDvnf7J2u2/dvo76le6GOoAiIdVq0ojAnTkUEKurb2Zh7fb4865K/qb63NkyyskSvFAYfYIVJduoAygCwlSf5DoksXhNY4J2zXknDuzyBVZusvm5g0JpWrevdHfUARQwqWrOuzIk4X37D/e38sDL72at8sXdqzeldEKWPndgKM0+v9btK90ddQAFhtcQtrVnZ/TrjKozNWaXTRzKEy4Fy1Xbmlm9rTleBtlyMBqvCnK0cNyaON597m0bduzroI7pRzZG46FCaTraV3oI6gAKhCCZYId0as69wmTuUEpZaYTpVUPTHj1XDa/giuphPF7TkND3NxozPPjqlg7XGqSJE0Ynx3uObNXaJ5Nv0FCP0hNRB5BHwsgEA/RKw2h7jZzX4LZGYzxe08ATq7enbewumzjUkpqIxgLDM7jez++QMMY/29IJhRRKU5RCQh1Ankg2GvUyZeRn+EUSnX132OiljbsSjFyQEY7GDD9fug4gtBOoGl7BvOumhErQpjMDiGB1J5s2ekDW1TELIYGuKIWKOoAuJJmhdiiJCAIJBuvN9/d1PJDUYSNINMaRiGBihpi9L2bgtqfXM2ZweWiDWzW8In7s58cOjoea/OL8YXMAuUi0qnyDoqRGHUAXENZQO6PRVVubEnR3po0e0OH4dIXJHCO76YOWhJLHaMyweE1jRkbQ7QwKga5aM6Ao3QV1ADkmHUPtjEadcMSyzXuYNnpAXIcnzAzCiZ8HGTln262uxikLVjUwdkjfog6DaIJXUdJHHUCOSJV4TGWoHaPvPlfQDCLd7lJXTa5k/Y598YqedkPa+YBCIGxITUf9iuKPOoAskqqGP5M2gLlKYl42cShPrN4eP2/MWLOCZZt2F2ybQnd5a6q1AzrqV5TUiDFhCvMKg+rqalNbW5vvy+hA2Br+dBdudWYGEQY/CYRsnj+bhKma0gSvovgjInXGmGrvdp0BdJJUI/RMFl4l06DPZiNxxxn5vVe03fB4TQOL1zQy77opeTGkYUI8DoXmsBSlGFAHkAHZSMYmO2+u5I79uGpyJWMGl/vOYAzQFo2xcktTlxrVMFVTuVw7oCg9hZQOQESGAY8Bg7BswhxjzH2eY6YBTwNb7U2LjTF32Pu2AS1AOxB1piEiMgF4EDgMiALfNsas6uwHyiXZTsa6yWfnKaec89KJQ/nlXzeyelvzoebqXaT5H2ZVtIZ4FCW7hJkBRIEfGmPWiEg5UCciLxhj3vIct9wYc2HAOc4xxuz1bPsV8H+NMX8VkQvs59PSufiuIB3DlOkIPVVnr2Tn9Or+uGv+gaQLtbzbWg60UVvfnBBjv7x6WE6NbKomLA4a4lGU7JPSARhjdgI77cctIrIROBbwOoB0McBR9uO+wI4kx3YJ3iqTMNLEnTVMfsY/2ajfMZgGOKp3aYIcg3fVr2Bdt/faw0o0ZLu5uvszhNFAynbOQ1GURNLKAYjICOA0oMZn9xki8gaWIf+RMWaDvd0Az4uIAR4yxsyxt88G/i4iv8YK6X42/cvPnEyMvUO2DJOf8Q+SIw4TF3eLsLUn+RBhRNqy3VzdIdWCLW3CoihdR2gHICJHAouA2caYjzy71wDDjTEf2+GcpcAJ9r6pxpj3RWQg8IKIvG2MeRW4CfiBMWaRiFwB/AE43+d9bwBuAKiszF6z7yAhMz9yYZjq6pu57en1HYy/u6l5mN4AftfZmW25ML7pLNjSJiyK0nWEWgcgImXAc8DfjTH3hDh+G1DtjfuLyO3Ax8aYX4vIPuBoY4wREQH2GWOO6ni2Q2S6DiBsnBk6GsdsSxM713Pvi5tZ8c7e+Hs5xt+pyNnTcpB/bNodukmKkxh1nFssZii1S1CdpiupcgDu/EE2u3zpgi1FyS8ZrwOwjfMfgI1Bxl9EBgO7bGM+CSuk0yQiRwARO3dwBPAF4A77ZTuAs4FlwLnAO+l/rGDCxpnduI29YxyzHXv20+t3DPiGHfu47Zn1SY1lmav0McgpOSqd+RxFZ6KBpChK1xImBHQmcA2wTkTW2ttuASoBjDEPAtOBm0QkChwAZtrOYBCwxPIhlALzjTF/s89xPXCfiJQCn2KHebJBOnFmdzvDXCcavTF/Aaae0J+xxxyV0kmlk2zOh0qnN6eSyxXMiqJkh24lBRG281NXx5mDrqtE4LyTBiVdTHbumMKvgkkl06DVPIqSX7q9FERdfTNXz13JwbZYQckBB4VCnJnI82/tStheqMbSb72BUz0V5MA0vq8ohU23cQCL1jQmGP9kcWbHmOV6BhC0wEsEjKc+PxvG0r1GINPOXEELxPzWGwThyDRk0nxeUZSuo1s4gPk1DSxcvT1ulILizN5qoF6lkZwJnQXV+I8acCRb9nzcQSY6XbkHr7H3k0dOtzdv2G1+xl8Tu4pSfBS9A/AztDOqh3GXq4m62/C7a+kPtsUybocYhDve7x3hA7y7++OE44MWfiU7d9gSUeP5329fJtuCSmV1tK8oxUVROwA/4++VL0hWjmjIbjvEZO8F6Yd80mmA4kc2ZwDeEb47VKSGX1GKk6J1AEEraR35gmTSypGIxKUSstUOMVlzFSDtkE+YBihuvPLI2cwBZHuBmKIohUHROoBFaxoT9G7cMgqppJXHDembsD9mrKYoYwaXZ2Tg/JyRk+h1EzbRm8qZQGKJqMonKIqSCUXpAOrqm3my9lDSt0TgTpfxDyut7D6uPWYyanziyDp0EF/zPA0z6g/KH4A2QFEUJfsUpQNYvKaRNldc57yTBnHV5ErfkXiQ4b1qciWrtjaxdK2lQm2Aij690rqOZGEa9/Mwid6gWUtE4IazRmlljaIoWacoHYDX2PYv7w1YzU+8YaEgw1tX38xzb+6MPxegeX9r6GsIE6bpTMhHF1EpipJritIBjBvS1/d5RZ9eCc7hhrNGBRpPbw4hndaHfjMNL50J+XRFG0hFUZSidADN+1sTyhOdkfv6Hfvi2yMC5YeXdXitY3Sf8OQQ0ml+4nUebtIZ9QeFfMKuC1AURekMRekA3CN9A7QcaKOuvpmn6hoT9PW9I3o/oyvAzEmVoQ2u933chB25OzMI73VoyEdRlK6kKB2AewYAMHfFVj46GKUtGosfY+y1t8m6UQnQuyySVt/blVuaiLbHOmwPM3J3rmX9+/s6hJ805KMoSldTlA5gyqh+lEQkPoJujxn2thzssO0ni95kW9MnvqtnMzW6U0b1o1dphNZojJhJL+Rzq10x5KCjfkVR8knR9gOYX9PArUvXxUf0ZSXCN88cycO2amUQ2VLddEsjJyvPTLYieeoJ/Zl9/mgd9SuKklO6XT+AqyZXsmzT7rieflu7oeVglBmnD2N+TYPva9IVLZu94HWWbd7DtNEDuHfmafHtYTtuJdMGKisRNf6KouSVonUAcKj+32F3y0FuPPs4nqprpNXOB2TaVWv2gtfji8Sc/91OIBmpdIjOPXEgN559nBp/RVHySlE7gMsmDuWJ1Q04ud9XNu/hxrOP4/Hrp8S18jNNrC7bvCfp8yBS6RBpoldRlEKhqB1A1fAKZpxeyTw75BNtj7FySxPfOef4ThvZaaMHxEf+zvNU6IpeRVGKiaJ2AADlvQ99hJhJX88nCCfc45cD8KIrehVFKUaK2gHMr2lgzvIt8efp6vmkIkzMX1f0KopSrBStA/ALt6Sj55Ora9CQj6IoxUJROoCghuvp6Pl0Bg35KIrSHSg6BxDUCtLpBtYV73/13JUcbIulrfmvKIpSSBSVA9jf2t6h+1ZXGn+wlEDdxl9DPoqiFCspHYCIDAMeAwZh6a/NMcbc5zlmGvA0sNXetNgYc4e9bxvQArQDUWc5sogsBMbYxx8NfGiMmZDsWrY276S1sQ7D8LwY3vk1DSxcfUhGOt2VxYqiKIVEmBlAFPihMWaNiJQDdSLygjHmLc9xy40xFwac4xxjzF73BmPMDOexiPwG2Jf6aj/isOEP0frBRUwe8OUulVLwyzvMqB7GXZec0iXvryiKkm1SOgBjzE5gp/24RUQ2AscCXgeQESIiwBXAuamPNkCMXoOXMmHMcVQNn5yNS0hKUMK3NCJpyUgriqIUGpF0DhaREcBpQI3P7jNE5A0R+auIjHVtN8DzIlInIjf4vO4sYJcx5p2A97xBRGpFpNZ6DiKGP79zL2t3r03n8tNmfk0DMx56jXk1iZo+XVlxpCiKkitCOwARORJYBMw2xnzk2b0GGG6MGQ/8Dljq2jfVGDMR+BLwHRH5nOe1VwKPB72vMWaOMabaGFMtdpMXgHbTTu2u2rCXnzZOyMfbtas0Il2adFYURckVoaqARKQMy/jPM8Ys9u53OwRjzF9E5Pci0t8Ys9cY8769fbeILAEmAa/a5y0FLgWqwlxHv8MPLfIyGD466PVDmePW+N+wY5/W+CuK0u0JUwUkwB+AjcaYewKOGYwVxjEiMglrZtEkIkcAETt3cATwBeAO10vPB942xjSGudgSKUEQjF2H899v/TfnVp7LhIETwry8A47RbznQxly7kYxfKxmt8VcUpTsSZgZwJnANsE5E1trbbgEqAYwxDwLTgZtEJAocAGbazmAQsMTyIZQC840xf3OdeyZJwj9e+pT1oURKiJooAFET5Zn3nsnIATgaPkFGH7TGX1GU7k3RtYT8ybyfcFfNXbSbdgBKKOFnU37G5WMuT/pavxCPT6tgwJq+lJZGmF41VEM+iqIUPd2mJeTlYy7n7X+9zZObn8RgaKedX9T8ghMqTgicCaQz2r9u6kjKDy9L2udXURSlO1B0DgDgK8d9hcXvLE4aCnLq9/e0HOSljbt8R/tq9BVF6ckUpQOYMHACt0y+JSEUtHjzYk76zEmMOux8Fq9pZGHtdqIBMR4N8SiKohSpAwD/UNB/rryLA/V7ad3fMWGro31FUZREitYBQMdQULtph8PfA48DUNE2RVGUjhS1A5gwcALXnHwNj2x4JL4t1t4HsEb75504kP7lvdXwK4qi+FBUZaAisgeod28rrSgdXNq39Fj7CEzbUZjokURbmupj+z/c63OankZ/QO/DIfR+JKL3I5Huej+GG2MGeDcWlQMIi4jU+tW89kT0XiSi9yMRvR+J9LT7kZYaqKIoitJ9UAegKIrSQ+muDmBOvi+ggNB7kYjej0T0fiTSo+5Ht8wBKIqiKKnprjMARVEUJQXqABRFUXooBecARKRERF4Xkefs5yIid4nIZhHZKCL/n+f400UkKiLTXdu+LiLv2P++7tpeJSLrRORdEfmt3ewGEfmMiLxgH/+CiBTMqrF07oeITBORtSKyQURecW3/oohssj/3za7tI0Wkxt6+UER62dt728/ftfeP6MKPnJSw90NE+orIs3af6g0i8g3XObrF98PnXiy3//5rRWSHiCy1t4v9ed4VkTdFZKLrHN3iXkBa9+Nq+z6sE5F/ish41zm6zW8lFMaYgvoH/AcwH3jOfv4N4DGszmIAA13HlgD/AP4CTLe3fQbYYv9fYT+usPetAqZgSQP9FfiSvf1XwM3245uBX+b7PqR7P4CjgbeASs/2EuA9YBTQC3gDONne9wRW8x6AB4Gb7MffBh60H88EFub7PmRwP25x/o7AAOBf9ufvNt8P773w7FsEfM1+fIH9ecT+fDU94beS5H581vU5v+S6H93qtxLqnuX7Ajx/pKHAS8C5rh/4KuD4gONnA98BHuWQA7gSeMh1zEP2tmOw2k/iPQ7YBBxjPz4G2JTve5Hu/bC/iP/ps/0M4O+u5z+1/wnWisdS73HA34Ez7Mel9nFSZPfjp8Dv7c85EngXa8bbLb4ffvfCte8ooBk4yv0ZXfs32Z+jW9yLdO+HZ18F8L79uNv8VsL+K7QQ0L3A/wFirm3HATNEpFZE/ioiJwCIyLHAJcB/ec5xLLDd9bzR3nas/di7HWCQMWan/fgDYFDnP0pWuJeQ9wMYDVSIyDIRqRORr9nbg+5HP+BDY2wlvcT7EX+NvX+ffXy+uZfw9+N+4CRgB7AO+L4xJkb3+X7cS8d74XAx8JIx5iP7ebLP3B3uBaR3P9x8E2uGA93rtxKKgnEAInIhsNsYU+fZ1Rv41FjLsx8G/mhvvxf4if2jzhrGcuV5r43N4H6UAlXAl4F/A24VkdFddb25JoP78W/AWmAIMAG4X0SO6ux1FML3I8m9cLiSNHptZ0oh3AvI/H6IyDlYDuAnOby8gqZgHABW8/mvisg2YAFwroj8GcvbLraPWQKcaj+uBhbYx08Hfi8iFwPvA8Nc5x1qb3vffuzdDrBLRI4BsP/fnc0PliHp3o9GrGnpJ8aYvcCrwHiC70cTcLSIlHq2436Nvb+vfXw+Sfd+fANYbCzeBbYCJ9I9vh9B9wIR6Q9MAv7HdXyyz1zs9wLSvx+IyKnAXOAiY4zz3e4uv5Xw5DsGFRDPm8ahGO/dwLWu7at9jn+UxCTwVqzYXoX9+DP2Pm9i6wJ7+/8jMbH1q3zfg3TvB1a44yWsmUAfYD0wzn6+BSsO7iS2xtqveZLExNa37cffITGx9US+70EG9+O/gNvtx4Owfqj9u9v3w30v7Oc3An/yHPNlEpPAq3rCbyXJ/ajEygl91rO92/1WUt6vfF9Aqj8iVnXL/2DFcV8Dxvsc/yi2A7CfX2v/gd8FvuHaXo1lGN/DihE7K6H7YRnPd4AXnR9BofwLez+AH2NVAq0HZru2XwBstj/3z1zbR9k/9HftL3hve/th9vN37f2j8n0P0r0fWKGf5+3t64F/747fDzoavGXAFz3HCPCA/bnWAdXd8V6kcT/mYiWF19r/al37utVvJdU/lYJQFEXpoRRSDkBRFEXpQtQBKIqi9FDUASiKovRQ1AEoiqL0UNQBKIqi9FDUASiKovRQ1AEoiqL0UP5/EAMpFJbVT8AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mesh.plot_boundary_nodes(boundary_names=['Land','input', 'output'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ff6054cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "mp = mesh.to_shapely()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "8df6d56a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'MultiPolygon'"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp.type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "4d0a1b21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x26a4d418b88>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "domain = mp.buffer(0)\n",
    "domain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "067eafb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__and__',\n",
       " '__array_interface__',\n",
       " '__bool__',\n",
       " '__class__',\n",
       " '__del__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__geo_interface__',\n",
       " '__geom__',\n",
       " '__getattribute__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__nonzero__',\n",
       " '__or__',\n",
       " '__p__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '__xor__',\n",
       " '_crs',\n",
       " '_ctypes_data',\n",
       " '_exterior',\n",
       " '_geom',\n",
       " '_get_coords',\n",
       " '_interiors',\n",
       " '_is_empty',\n",
       " '_lgeos',\n",
       " '_ndim',\n",
       " '_other_owned',\n",
       " '_repr_svg_',\n",
       " '_set_coords',\n",
       " 'almost_equals',\n",
       " 'area',\n",
       " 'array_interface_base',\n",
       " 'boundary',\n",
       " 'bounds',\n",
       " 'buffer',\n",
       " 'centroid',\n",
       " 'contains',\n",
       " 'convex_hull',\n",
       " 'coords',\n",
       " 'covers',\n",
       " 'crosses',\n",
       " 'ctypes',\n",
       " 'difference',\n",
       " 'disjoint',\n",
       " 'distance',\n",
       " 'empty',\n",
       " 'envelope',\n",
       " 'equals',\n",
       " 'equals_exact',\n",
       " 'exterior',\n",
       " 'from_bounds',\n",
       " 'geom_type',\n",
       " 'geometryType',\n",
       " 'has_z',\n",
       " 'hausdorff_distance',\n",
       " 'impl',\n",
       " 'interiors',\n",
       " 'interpolate',\n",
       " 'intersection',\n",
       " 'intersects',\n",
       " 'is_closed',\n",
       " 'is_empty',\n",
       " 'is_ring',\n",
       " 'is_simple',\n",
       " 'is_valid',\n",
       " 'length',\n",
       " 'minimum_clearance',\n",
       " 'minimum_rotated_rectangle',\n",
       " 'overlaps',\n",
       " 'project',\n",
       " 'relate',\n",
       " 'relate_pattern',\n",
       " 'representative_point',\n",
       " 'simplify',\n",
       " 'svg',\n",
       " 'symmetric_difference',\n",
       " 'to_wkb',\n",
       " 'to_wkt',\n",
       " 'touches',\n",
       " 'type',\n",
       " 'union',\n",
       " 'within',\n",
       " 'wkb',\n",
       " 'wkb_hex',\n",
       " 'wkt',\n",
       " 'xy']"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(domain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "d7cdffc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "type(domain)\n",
    "res = gpd.GeoSeries([domain])\n",
    "res.to_file('ccvb1.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "c601970e",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x26a4d69bb48>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "domain1 = domain.buffer(-10)\n",
    "domain1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "325ac356",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置数据\n",
    "item_data = data[item][setp]\n",
    "item_dataframe = pd.DataFrame({'speed': item_data})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e9fe5965",
   "metadata": {},
   "outputs": [],
   "source": [
    "shp = df.to_shapely()\n",
    "poly_list = [e for e in shp]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "288e7240",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转换为地理数据格式\n",
    "gdf = gpd.GeoDataFrame(item_dataframe, geometry=poly_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fa9e4cb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导出shp\n",
    "gdf.to_file(\"xxx.shp\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
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